One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5¶
[Generated automatically as a Fitting summary]
Model Description¶
Name: | d1cmp_cl_iov_05 |
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Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 |
Author: | PoPy for PK/PD |
Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5
Keywords: | one compartment model; dep_one_cmp_cl; iov |
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Input Script: | d1cmp_cl_iov_05_fit.pyml |
Diagram: |
Comparison¶
Compare Main f[X]¶
Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
---|---|---|---|---|
f[KA] | 0.5000 | 0.3309 | 0.1691 | 0.3383 |
f[CL] | 1.0000 | 3.4613 | 2.4613 | 2.4613 |
f[V] | 15.0000 | 19.7861 | 4.7861 | 0.3191 |
Compare Noise f[X]¶
Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.2000 | 0.0921 | 0.1079 | 0.5393 |
f[ANOISE_STD] | 0.2000 | 0.0507 | 0.1493 | 0.7464 |
Compare Variance f[X]¶
Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
---|---|---|---|---|
f[CL_isv] | 0.0100 | 0.5087 | 0.4987 | 49.8684 |
f[CL_iov] | 0.0100 | 0.0070 | 0.0030 | 0.2955 |
Population simulated (sim) plots¶
allOBS_vs_TIME |
Outputs¶
Fitted f[X] values (after fitting)¶
f[KA] = 0.3309
f[CL] = 3.4613
f[V] = 19.7861
f[PNOISE_STD] = 0.0921
f[ANOISE_STD] = 0.0507
f[CL_isv] = 0.5087
f[CL_iov] = 0.0070
Fitted parameter .csv files¶
Fixed Effects: | fx_params.csv (fit) |
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Random Effects: | rx_params.csv (fit) |
Model params: | mx_params.csv (fit) |
State values: | sx_params.csv (fit) |
Predictions: | px_params.csv (fit) |
Likelihoods: | lx_params.csv (fit) |
Inputs¶
Input Data: | cx_obs_params.csv |
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Starting f[X] values (before fitting)¶
f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0100
f[CL_iov] = 0.0100